Bayesian Optimization of DBS for Gait

Trial statusRecruiting
Trial phaseEarly Phase 1
Trial typeInterventional
Biological sexAll
Age18+
SponsorUniversity of Minnesota

About this trial

This project aims to establish the feasibility of Bayesian optimization for tuning deep brain stimulation (DBS) to treat gait symptoms in Parkinson's disease (PD) patients. Our primary question is: Can Bayesian optimization of DBS achieve reproducible results within a feasible number of gait measurements? PD patients will be enrolled who have DBS of the subthalamic nucleus (STN) or globus pallidus (GP) in whom at least 3 months have passed since activation of their neurostimulators, for stabilization of clinical stimulator settings. We will apply Bayesian optimization to derive DBS settings which maximally lengthen step length relative to the OFF DBS state.

Eligibility criteria

This trial does not accept healthy volunteers

Qualifiers

Diagnosis of Parkinson's Disease

DBS in STN or GP (bilateral or unilateral)

At least 3 months after lead implantation

Disqualifiers

Inability to walk in the off-med, off-stimulation condition (even with safety harness)

Gait impaired significantly by a condition other than PD, as determined by the PI

Breaks or shorts in active contacts

IPG battery nearing end of life (in patients with primary-cell IPGs)

Trial design

Design model

Single group

Treatments tested in this trial

  • Deep Brain Stimulation

    Other intervention

    DBS within FDA-approved limits and labeling for symptoms of PD

Treatment groups

15 Participants
are divided into 1 treatment group
Group A: All participantsExperimental treatment 1 intervention

Trial outcomes

Primary outcomes

1

Gait Test

Subjects walk for one minute each on a treadmill set to match their individual overground walking speed. A forceplate measures the center of pressure trajectory from which integral software detects time and location of heel-strike and toe-off events. These events, and the treadmill speed, are used to compute step lengths.

Time frame
This will be repeated approximately 30 times throughout the study visit (Day 1) on various DBS settings to reach putatively optimal DBS settings.

Secondary outcomes

Other outcomes

Sponsors and contacts

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